Abstract
Underwater sensor networks are ad hoc networks to monitor different underwater phenomenons such as pollution control, petrol mining, and observation of echo life. For underwater sensor networks to operate for longer duration of time, hoarding energy from background sources is viable option. One such source is harvesting energy from water currents using piezoelectric material embedded in sensor nodes. Piezoelectric materials can produce electricity when pressure is applied on it in the form of oscillating frequency produced by hydrophones. In this paper we have analyzed cooperation-based technique in underwater sensor networks containing sensor nodes which select relay nodes in their immediate vicinity with energy harvesting capabilities. These relay sensor nodes employ technique of amplify and forward (AF). As in current literature, all cooperative-based UWSN routing techniques are without integration of any type of energy harvesting schemes; considering this, we have incorporated piezoelectric energy harvesting mechanism into relay nodes in order to decrease end-to-end delay, increase stability period, and improve packet delivery ratio. As case study, we have selected cooperation-based UWSN protocol ARCUN (Analytical Approach towards Reliability with Cooperation for Underwater WSNs) and integrated piezoelectric energy harvesting scheme with it. We compared our new scheme EH (energy harvested)-ARCUN with ARCUN and RACE (Reliability and Adaptive Cooperation for Efficient Underwater Sensor Networks). Simulation results show improvement of EH-ARCUN over ARCUN and RACE schemes.
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Bereketli, A., & Bilgen, S. (2012). Remotely powered underwater acoustic sensor networks. IEEE Sensors Journal, 12(12), 3467–3472.2.
Khan, F., ur Rehman, A., Usman, M., Tan, Z., & Puthal, D. (2018). Performance of cognitive radio sensor networks using hybrid automatic repeat request: Stop-and-wait. Mobile Networks and Applications, 23(3), 1–10.
Ahmed, S., Akbar, M., Ullah, R., Ahmed, S., Raza, M., Khan, Z. A., et al. (2015). ARCUN: Analytical approach towards reliability with cooperation for underwater WSNs. Procedia Computer Science, 52, 576–583.
Jan, M. A., Tan, Z., He, X., & Ni, W. (2018). Moving towards highly reliable and effective sensor networks. Philadelphia, PA: Old City Publishing.
Ahmad, A., Ahmed, S., Imran, M., Alam, M., Niaz, I. A., & Javaid, N. (2017). On energy efficiency in underwater wireless sensor networks with cooperative routing. Annals of Telecommunications, 72(3–4), 173–188.
Jan, M. A., Khan, F., Alam, M., & Usman, M. (2017). A payload-based mutual authentication scheme for Internet of Things. Future Generation Computer Systems. in press.
Javaid, N., Sher, A., Abdul, W., Niaz, I. A., Almogren, A., & Alamri, A. (2017). Cooperative opportunistic pressure based routing for underwater wireless sensor networks. Sensors, 17(3), 629.
Jan, M. A., Nanda, P., & He, X. (2013, June). Energy evaluation model for an improved centralized clustering hierarchical algorithm in WSN. In International Conference on wired/wireless internet communication (pp. 154–167). Berlin: Springer.
Ghoreyshi, S. M., Shahrabi, A., & Boutaleb, T. (2016). A novel cooperative opportunistic routing scheme for underwater sensor networks. Sensors, 16(3), 297.
Jan, M. A., Jan, S. R. U., Alam, M., Akhunzada, A., & Rahman, I. U. (2018). A comprehensive analysis of congestion control protocols in wireless sensor networks. Mobile Networks and Applications, 23(3), 1–13.
Javaid, N., Hussain, S., Ahmad, A., Imran, M., Khan, A., & Guizani, M. (2017). Region based cooperative routing in underwater wireless sensor networks. Journal of Network and Computer Applications., 92, 31–41.
Alam, M., Ferreira, J., Mumtaz, S., Jan, M. A., Rebelo, R., & Fonseca, J. A. (2017). Smart cameras are making our beaches safer: A 5G-envisioned distributed architecture for safe, connected coastal areas. IEEE Vehicular Technology Magazine, 12(4), 50–59.
Javaid, N., Maqsood, H., Wadood, A., Niaz, I. A., Almogren, A., Alamri, A., et al. (2017). A localization based cooperative routing protocol for underwater wireless sensor networks. Mobile Information Systems, 2017, 16.
Khan, F., ur Rahman, I., Khan, M., Iqbal, N., & Alam, M. (2016, September). CoAP-based request-response interaction model for the internet of things. In International Conference on future intelligent vehicular technologies (pp. 146–156). Cham: Springer.
Pervaiz, K., Wahid, A., Sajid, M., Khizar, M., Khan, Z. A., Qasim, U., et al. (2016, July). DEAC: Depth and energy aware cooperative routing protocol for underwater wireless sensor networks. In 2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS) (pp. 150–158). Piscataway, NY: IEEE.
Fida, N., Khan, F., Jan, M. A., & Khan, Z. (2016, September). Performance analysis of vehicular adhoc network using different highway traffic scenarios in cloud computing. In International Conference on future intelligent vehicular technologies (pp. 157–166). Cham: Springer.
Naqvi, S. K. B., Ahmed, S. H. E. E. R. A. Z., Rauf, C. A., & Naqvi, S. S. (2013). Amplification and sequencing of internal transcribed regions 1 & 2, and 5.8 S rDNA from local isolates of fusarium species. Pakistan Journal of Botany, 45, 301–307.
Jan, M. A., Nanda, P., He, X., & Liu, R. P. (2018). A Sybil attack detection scheme for a forest wildfire monitoring application. Future Generation Computer Systems, 80, 613–626.
Sajid, M., Wahid, A., Pervaiz, K., Khizar, M., Khan, Z. A., Qasim, U., et al. (2016, July). SMIC: Sink mobility with incremental cooperative routing protocol for underwater wireless sensor networks. In 2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS) (pp. 256–263). Piscataway, NY: IEEE.
Zhang, J., Fang, Z., Shu, C., Zhang, J., Zhang, Q., & Li, C. (2017). A rotational piezoelectric energy harvester for efficient wind energy harvesting. Sensors and Actuators A: Physical, 262, 123–129.
Gu, Y., Chen, H., Li, Y., & Vucetic, B. (2016). Distributed multi-relay selection in accumulate-then-forward energy harvesting relay networks. arXiv preprint arXiv:1602.00339.
Jan, M. A., Nanda, P., He, X., & Liu, R. P. (2013, November). Enhancing lifetime and quality of data in cluster-based hierarchical routing protocol for wireless sensor network. In 2013 IEEE International Conference on High Performance Computing and Communications & 2013 IEEE 10th International Conference on Embedded and Ubiquitous Computing (HPCC_EUC) (pp. 1400–1407). Piscataway, NY: IEEE.
Jannu, S., & Jana, P. K. (2017). Maximizing network lifetime of wireless sensor networks: An energy harvesting approach. In Proceedings of the International Conference on signal, networks, computing, and systems (pp. 331–339). New Delhi: Springer India.
Khan, F. (2014, May). Fairness and throughput improvement in multihop wireless ad hoc networks. In 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE) (pp. 1–6). Piscataway, NY: IEEE.
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Khan, A., Ahmad, S., Khan, M., Jan, M.A., Khan, Z.A., Usman Akhtar, M. (2019). EH-ARCUN: Energy Harvested Analytical Approach Towards Reliability with Cooperation for Underwater WSNs. In: Jan, M., Khan, F., Alam, M. (eds) Recent Trends and Advances in Wireless and IoT-enabled Networks. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-99966-1_14
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DOI: https://doi.org/10.1007/978-3-319-99966-1_14
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